📌 Mint this entry and subscribe to Post3 newsletter to get the dataset that powered this analysis delivered to your email inbox. This entry is part of the series: Mirror Entries Analysis. Each week, Post3 utilizes data extraction and data analysis techniques to deliver insightful reports with information concerning authors, articles, revenue, chains, keywords, and more, derived from exploring Mirror data. A filter is applied to the extracted data. For instance, entries with one-word titles a...

📌 Mint this entry and subscribe to Post3 newsletter to get the dataset that powered this analysis delivered to your email inbox. This entry is part of the series: Mirror Entries Analysis. Each week, Post3 utilizes data extraction and data analysis techniques to deliver insightful reports with information concerning authors, articles, revenue, chains, keywords, and more, derived from exploring Mirror data. A filter is applied to the extracted data. For instance, entries with one-word titles a...

This entry is part of the series: Mirror Entries Analysis. Each week, Post3 utilizes data extraction and data analysis techniques to deliver insightful reports with information concerning authors, articles, revenue, chains, keywords, and more, derived from exploring Mirror data. For Week 2, we tackle the following questions:Who are the authors from whom people have collected the most?Which entries were the most collected?Which authors generated the most revenue?Which entries generated the mos...

This entry is part of the series: Mirror Entries Analysis. Each week, Post3 utilizes data extraction and data analysis techniques to deliver insightful reports with information concerning authors, articles, revenue, chains, keywords, and more, derived from exploring Mirror data. For Week 2, we tackle the following questions:Who are the authors from whom people have collected the most?Which entries were the most collected?Which authors generated the most revenue?Which entries generated the mos...

📌 Mint this entry and subscribe to Post3 newsletter to get the dataset that powered this analysis delivered to your email inbox. This entry is part of the series: Mirror Entries Analysis. Each week, Post3 utilizes data extraction and data analysis techniques to deliver insightful reports with information concerning authors, articles, revenue, chains, keywords, and more, derived from exploring Mirror data. A filter is applied to the extracted data. For instance, entries with one-word titles a...

📌 Mint this entry and subscribe to Post3 newsletter to get the dataset that powered this analysis delivered to your email inbox. This entry is part of the series: Mirror Entries Analysis. Each week, Post3 utilizes data extraction and data analysis techniques to deliver insightful reports with information concerning authors, articles, revenue, chains, keywords, and more, derived from exploring Mirror data. A filter is applied to the extracted data. For instance, entries with one-word titles a...

📌 Mint this entry and subscribe to Post3 newsletter to get the dataset that powered this analysis delivered to your email inbox. This entry is part of the series: Mirror Entries Analysis. Each week, Post3 utilizes data extraction and data analysis techniques to deliver insightful reports with information concerning authors, articles, revenue, chains, keywords, and more, derived from exploring Mirror data. A filter is applied to the extracted data. For instance, entries with one-word titles a...

📌 Mint this entry and subscribe to Post3 newsletter to get the dataset that powered this analysis delivered to your email inbox. This entry is part of the series: Mirror Entries Analysis. Each week, Post3 utilizes data extraction and data analysis techniques to deliver insightful reports with information concerning authors, articles, revenue, chains, keywords, and more, derived from exploring Mirror data. A filter is applied to the extracted data. For instance, entries with one-word titles a...

📌 Mint this entry and subscribe to Post3 newsletter to get the dataset that powered this analysis delivered to your email inbox. This entry is part of the series: Mirror Entries Analysis. Each week, Post3 utilizes data extraction and data analysis techniques to deliver insightful reports with information concerning authors, articles, revenue, chains, keywords, and more, derived from exploring Mirror data. A filter is applied to the extracted data. For instance, entries with one-word titles a...

📌 Mint this entry and subscribe to Post3 newsletter to get the dataset that powered this analysis delivered to your email inbox. This entry is part of the series: Mirror Entries Analysis. Each week, Post3 utilizes data extraction and data analysis techniques to deliver insightful reports with information concerning authors, articles, revenue, chains, keywords, and more, derived from exploring Mirror data. A filter is applied to the extracted data. For instance, entries with one-word titles a...

This entry is part of the series: Mirror Entries Analysis. Each week, Post3 utilizes data extraction and data analysis techniques to deliver insightful reports with information concerning authors, articles, revenue, chains, keywords, and more, derived from exploring Mirror data. For Week 5, we tackle the following questions:Who are the authors from whom people have collected the most?Which entries were the most collected?Which authors generated the most revenue?Which entries generated the mos...

This entry is part of the series: Mirror Entries Analysis. Each week, Post3 utilizes data extraction and data analysis techniques to deliver insightful reports with information concerning authors, articles, revenue, chains, keywords, and more, derived from exploring Mirror data. For Week 5, we tackle the following questions:Who are the authors from whom people have collected the most?Which entries were the most collected?Which authors generated the most revenue?Which entries generated the mos...

Publishing platforms emerged as a means to democratize writing by enabling writers to reach a wider audience. As the internet became increasingly crowded with personal blogs and articles of all kinds, content creators found themselves calling for attention in the vast online landscape. Platforms like Medium, Substack or Hashnode arrived to fix this issue. Well-positioned writers migrated their content to these websites and leveraged their popularity, while others took the opportunity to be th...

Publishing platforms emerged as a means to democratize writing by enabling writers to reach a wider audience. As the internet became increasingly crowded with personal blogs and articles of all kinds, content creators found themselves calling for attention in the vast online landscape. Platforms like Medium, Substack or Hashnode arrived to fix this issue. Well-positioned writers migrated their content to these websites and leveraged their popularity, while others took the opportunity to be th...

This entry is part of the series: Mirror Entries Analysis. Each week, Post3 utilizes data extraction and data analysis techniques to deliver insightful reports with information concerning authors, articles, revenue, chains, keywords, and more, derived from exploring Mirror data. For Week 4, we tackle the following questions:Who are the authors from whom people have collected the most?Which entries were the most collected?Which authors generated the most revenue?Which entries generated the mos...

This entry is part of the series: Mirror Entries Analysis. Each week, Post3 utilizes data extraction and data analysis techniques to deliver insightful reports with information concerning authors, articles, revenue, chains, keywords, and more, derived from exploring Mirror data. For Week 4, we tackle the following questions:Who are the authors from whom people have collected the most?Which entries were the most collected?Which authors generated the most revenue?Which entries generated the mos...

⚠️ Note: This week’s report has some faults concerning the number of collections, which should be much higher in Linea for instance. This is due to the web scraping process which should be slightly changed. Everything will be fixed by next week. This entry is part of the series: Mirror Entries Analysis. Each week, Post3 utilizes data extraction and data analysis techniques to deliver insightful reports with information concerning authors, articles, revenue, chains, keywords, and more, derived...

⚠️ Note: This week’s report has some faults concerning the number of collections, which should be much higher in Linea for instance. This is due to the web scraping process which should be slightly changed. Everything will be fixed by next week. This entry is part of the series: Mirror Entries Analysis. Each week, Post3 utilizes data extraction and data analysis techniques to deliver insightful reports with information concerning authors, articles, revenue, chains, keywords, and more, derived...

This entry is part of the series: Mirror Entries Analysis. Each week, Post3 utilizes data extraction and data analysis techniques to deliver insightful reports with information concerning authors, articles, revenue, chains, keywords, and more, derived from exploring Mirror data. For Week 6, we tackle the following questions:Who are the authors from whom people have collected the most?Which entries were the most collected?Which authors generated the most revenue?Which entries generated the mos...

This entry is part of the series: Mirror Entries Analysis. Each week, Post3 utilizes data extraction and data analysis techniques to deliver insightful reports with information concerning authors, articles, revenue, chains, keywords, and more, derived from exploring Mirror data. For Week 6, we tackle the following questions:Who are the authors from whom people have collected the most?Which entries were the most collected?Which authors generated the most revenue?Which entries generated the mos...

This entry is part of the series: Mirror Entries Analysis. Each week, Post3 utilizes data extraction and data analysis techniques to deliver insightful reports with information concerning authors, articles, revenue, chains, keywords, and more, derived from exploring Mirror data. For Week 3, we tackle the following questions:Who are the authors from whom people have collected the most?Which entries were the most collected?Which authors generated the most revenue?Which entries generated the mos...

This entry is part of the series: Mirror Entries Analysis. Each week, Post3 utilizes data extraction and data analysis techniques to deliver insightful reports with information concerning authors, articles, revenue, chains, keywords, and more, derived from exploring Mirror data. For Week 3, we tackle the following questions:Who are the authors from whom people have collected the most?Which entries were the most collected?Which authors generated the most revenue?Which entries generated the mos...

📌 Mint this entry and subscribe to Post3 newsletter to get the dataset that powered this analysis delivered to your email inbox. This entry is part of the series: Mirror Entries Analysis. Each month, Post3 utilizes data extraction and data analysis techniques to deliver insightful reports with information concerning authors, articles, revenue, chains, keywords, and more, derived from exploring Mirror data. A filter is applied to the extracted data. For instance, entries with one-word titles ...

📌 Mint this entry and subscribe to Post3 newsletter to get the dataset that powered this analysis delivered to your email inbox. This entry is part of the series: Mirror Entries Analysis. Each month, Post3 utilizes data extraction and data analysis techniques to deliver insightful reports with information concerning authors, articles, revenue, chains, keywords, and more, derived from exploring Mirror data. A filter is applied to the extracted data. For instance, entries with one-word titles ...